Skip to main content
Log in

Die Technologie-Landschaft für Big-Data-Analyse

  • Schwerpunkt
  • Artikel
  • Published:
Wirtschaftsinformatik & Management Aims and scope

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abb. 1
Abb. 2
Abb. 3

Literaturangaben

  1. Jeffrey Dean, Sanjay Ghemawat: MapReduce: Simplified Data Processing on Large Clusters, http://research.google.com/archive/mapreduce-osdi04.pdf

  2. Stefan Edlich, Achim Friedland, Jens Hampe, Benjamin Brauer: NoSQL: Einstieg in die Welt nichtrelationaler Web 2.0 Datenbanken, Carl Hanser Verlag GmbH & Co. KG

    Chapter  Google Scholar 

  3. Sergey Melnik, Andrey Gubarev, Jing Jing Long, Geoffrey Romer, Shiva Shivakumar, Matt Tolton, Theo Vassilakis: Dremel: Interactive Analysis of Web-Scale Datasets, http://research.google.com/pubs/pub36632.html

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wolff, E. Die Technologie-Landschaft für Big-Data-Analyse. Wirtsch Inform Manag 5, 58–65 (2013). https://doi.org/10.1365/s35764-013-0279-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1365/s35764-013-0279-2